Primary Independent Variable
- XXX
XXX from the XXX Research Team is looking to engage in consultation with the Telethon Kids Instituteās Biometrics team to undertake statistical analysis to determine brief project summary.
Project roles:
Study overview to put the analysis in context.
file.xlsx (DD MMM YYYY, provided by XXX)file.sav (DD MMM YYYY, provided by XXX)There were XXX children born from XXX women over the study study interval, XXX were males that were diagnosed with XXX.
lm() (R Core Team 2019)
glm() (R Core Team 2019)
Statistical models will be prepared for the dependant measures identified above with some commentary regarding their interpretation and statistical significance in terms of 95% confidence intervals. Where appropriate, figures will be prepared to help convey the analysis findings. Descriptive statistics can also be provided in the final result/manuscript preparation upon request.
Commentary around the methods and results of model creation will be provided in the form of a report that will include bullet point overviews of model preparation and results. Once specific analysis outcomes have been identified by the project sponsor for inclusion in publishable works, ācopy-and-pasteā paragraphs for manuscript preparation and a more detailed analysis summary can be provided. The analysis and reporting will be completed in the R programming language and all R script files associated with the analysis will be made available to the researcher upon request.
Assuming the data are tidy and clean, we estimate 4-6 days of analysis time (@$875 excluding GST, per day), which does not include final result preparation time. Up to two Biometrics Biostatisticians to be included as authors on resulting publication(s) (assuming sufficient academic contributions are made).
It would be worthwhile preparing a skeleton of the tables for the paper to make the most efficient use of the analysis time, as working through multiple iterations of possible tables (which we are happy to do if required) will increase the analysis time/cost.
Final table preparation and contribution to paper writing, within reason, is provided in-kind. Cost recovery for this function will be necessary if there are substantial edits/revisions/changes-of-mind.
This document was prepared using the software R (R Core Team 2019), via the RStudio IDE (RStudio Team 2016), and was written in RMarkdown (Allaire et al. 2019).
## R version 3.6.1 (2019-07-05)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 8.1 x64 (build 9600)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_Australia.1252 LC_CTYPE=English_Australia.1252
## [3] LC_MONETARY=English_Australia.1252 LC_NUMERIC=C
## [5] LC_TIME=English_Australia.1252
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] rmarkdown_1.16 captioner_2.2.3 jtools_2.0.1
## [4] GGally_1.4.0 broom_0.5.2 kableExtra_1.1.0
## [7] knitr_1.25 biometrics_1.0.4 ProjectTemplate_0.9.0
## [10] lubridate_1.7.4 forcats_0.4.0 stringr_1.4.0
## [13] tibble_2.1.3 purrr_0.3.2 readr_1.3.1
## [16] tidyr_1.0.0 dplyr_0.8.3 ggplot2_3.2.1
## [19] repmis_0.5
##
## loaded via a namespace (and not attached):
## [1] tidyselect_0.2.5 xfun_0.9 reshape2_1.4.3
## [4] pander_0.6.3 lattice_0.20-38 colorspace_1.4-1
## [7] vctrs_0.2.0 generics_0.0.2 viridisLite_0.3.0
## [10] htmltools_0.3.6 yaml_2.2.0 rlang_0.4.0
## [13] R.oo_1.22.0 pillar_1.4.2 glue_1.3.1
## [16] withr_2.1.2 R.utils_2.9.0 RColorBrewer_1.1-2
## [19] R.cache_0.13.0 lifecycle_0.1.0 plyr_1.8.4
## [22] munsell_0.5.0 gtable_0.3.0 rvest_0.3.4
## [25] R.methodsS3_1.7.1 evaluate_0.14 labeling_0.3
## [28] Rcpp_1.0.2 scales_1.0.0 backports_1.1.5
## [31] webshot_0.5.1 hms_0.5.1 digest_0.6.21
## [34] stringi_1.4.3 grid_3.6.1 tools_3.6.1
## [37] magrittr_1.5 lazyeval_0.2.2 crayon_1.3.4
## [40] pkgconfig_2.0.3 zeallot_0.1.0 xml2_1.2.2
## [43] data.table_1.12.2 reshape_0.8.8 assertthat_0.2.1
## [46] httr_1.4.1 rstudioapi_0.10 R6_2.4.0
## [49] igraph_1.2.4.1 nlme_3.1-141 compiler_3.6.1
Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, Winston Chang, and Richard Iannone. 2019. Rmarkdown: Dynamic Documents for R. https://CRAN.R-project.org/package=rmarkdown.
R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
RStudio Team. 2016. RStudio: Integrated Development Environment for R. Boston, MA: RStudio, Inc. http://www.rstudio.com/.